Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading generative AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.
Key job responsibilities
- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.
- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.
- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.
- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.
- Help maintain the team's ML Infrastructure, including production and experimentation environments.
- Collaborate with software development engineers on scientific projects.
A day in the life
As an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.
About the team
Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience.
Key job responsibilities
- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.
- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.
- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.
- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.
- Help maintain the team's ML Infrastructure, including production and experimentation environments.
- Collaborate with software development engineers on scientific projects.
A day in the life
As an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.
About the team
Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience.